摘要
介绍了一种基于多线阵像机构成的视觉空间定位系统.该系统利用线阵像机的快速性与高分辨率的特点,采用了非平行空间投影面相交定位的基本原理,利用几何投影关系定位求解的方法,实现了多线阵像机视觉系统的空间定位.并提出了多线阵像机的神经网络非线性修正方法,使修正后的PSD能在较宽的位置范围内输出高线性度的信号.实验结果表明,基于非线性修正的多线阵像机位姿测量系统简化了立体视觉空间定位计算的复杂性,在定位精度、定位范围和采样速度上均达到了良好效果.
A new space-location vision system of cameras in multiple linear arrays is developed making full use of their high speed resolution. The space location is determined on the basic principle that some projective planes intersect with each other in non-parallel space and their locations can be solved by geometric projection. Then, a nonlinear correction is prolosed by means of neural network for those cameras to enable the PSD after correction to output high-linearity location signal in a broader range. Experimental results showed that the pose measurement system for those cameras can reduce effectively the computational complexity in the space location for stereovision, and that the cameras work well at location accuracy range and sampling speed.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2006年第6期614-617,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(60475036)
关键词
多线阵像机
空间定位
神经网络
非线性修正
立体视觉
cameras in multiple linear arrays
space location
neural network
nonlinear correction
stereovision